CfnApplicationV2

class aws_cdk.aws_kinesisanalytics.CfnApplicationV2(scope, id, *, runtime_environment, service_execution_role, application_configuration=None, application_description=None, application_maintenance_configuration=None, application_mode=None, application_name=None, run_configuration=None, tags=None)

Bases: CfnResource

A CloudFormation AWS::KinesisAnalyticsV2::Application.

Creates an Amazon Kinesis Data Analytics application. For information about creating a Kinesis Data Analytics application, see Creating an Application .

CloudformationResource: AWS::KinesisAnalyticsV2::Application
Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-kinesisanalyticsv2-application.html
ExampleMetadata: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_kinesisanalytics as kinesisanalytics

cfn_application_v2 = kinesisanalytics.CfnApplicationV2(self, "MyCfnApplicationV2",
    runtime_environment="runtimeEnvironment",
    service_execution_role="serviceExecutionRole",

    # the properties below are optional
    application_configuration=kinesisanalytics.CfnApplicationV2.ApplicationConfigurationProperty(
        application_code_configuration=kinesisanalytics.CfnApplicationV2.ApplicationCodeConfigurationProperty(
            code_content=kinesisanalytics.CfnApplicationV2.CodeContentProperty(
                s3_content_location=kinesisanalytics.CfnApplicationV2.S3ContentLocationProperty(
                    bucket_arn="bucketArn",
                    file_key="fileKey",

                    # the properties below are optional
                    object_version="objectVersion"
                ),
                text_content="textContent",
                zip_file_content="zipFileContent"
            ),
            code_content_type="codeContentType"
        ),
        application_snapshot_configuration=kinesisanalytics.CfnApplicationV2.ApplicationSnapshotConfigurationProperty(
            snapshots_enabled=False
        ),
        environment_properties=kinesisanalytics.CfnApplicationV2.EnvironmentPropertiesProperty(
            property_groups=[kinesisanalytics.CfnApplicationV2.PropertyGroupProperty(
                property_group_id="propertyGroupId",
                property_map={
                    "property_map_key": "propertyMap"
                }
            )]
        ),
        flink_application_configuration=kinesisanalytics.CfnApplicationV2.FlinkApplicationConfigurationProperty(
            checkpoint_configuration=kinesisanalytics.CfnApplicationV2.CheckpointConfigurationProperty(
                configuration_type="configurationType",

                # the properties below are optional
                checkpointing_enabled=False,
                checkpoint_interval=123,
                min_pause_between_checkpoints=123
            ),
            monitoring_configuration=kinesisanalytics.CfnApplicationV2.MonitoringConfigurationProperty(
                configuration_type="configurationType",

                # the properties below are optional
                log_level="logLevel",
                metrics_level="metricsLevel"
            ),
            parallelism_configuration=kinesisanalytics.CfnApplicationV2.ParallelismConfigurationProperty(
                configuration_type="configurationType",

                # the properties below are optional
                auto_scaling_enabled=False,
                parallelism=123,
                parallelism_per_kpu=123
            )
        ),
        sql_application_configuration=kinesisanalytics.CfnApplicationV2.SqlApplicationConfigurationProperty(
            inputs=[kinesisanalytics.CfnApplicationV2.InputProperty(
                input_schema=kinesisanalytics.CfnApplicationV2.InputSchemaProperty(
                    record_columns=[kinesisanalytics.CfnApplicationV2.RecordColumnProperty(
                        name="name",
                        sql_type="sqlType",

                        # the properties below are optional
                        mapping="mapping"
                    )],
                    record_format=kinesisanalytics.CfnApplicationV2.RecordFormatProperty(
                        record_format_type="recordFormatType",

                        # the properties below are optional
                        mapping_parameters=kinesisanalytics.CfnApplicationV2.MappingParametersProperty(
                            csv_mapping_parameters=kinesisanalytics.CfnApplicationV2.CSVMappingParametersProperty(
                                record_column_delimiter="recordColumnDelimiter",
                                record_row_delimiter="recordRowDelimiter"
                            ),
                            json_mapping_parameters=kinesisanalytics.CfnApplicationV2.JSONMappingParametersProperty(
                                record_row_path="recordRowPath"
                            )
                        )
                    ),

                    # the properties below are optional
                    record_encoding="recordEncoding"
                ),
                name_prefix="namePrefix",

                # the properties below are optional
                input_parallelism=kinesisanalytics.CfnApplicationV2.InputParallelismProperty(
                    count=123
                ),
                input_processing_configuration=kinesisanalytics.CfnApplicationV2.InputProcessingConfigurationProperty(
                    input_lambda_processor=kinesisanalytics.CfnApplicationV2.InputLambdaProcessorProperty(
                        resource_arn="resourceArn"
                    )
                ),
                kinesis_firehose_input=kinesisanalytics.CfnApplicationV2.KinesisFirehoseInputProperty(
                    resource_arn="resourceArn"
                ),
                kinesis_streams_input=kinesisanalytics.CfnApplicationV2.KinesisStreamsInputProperty(
                    resource_arn="resourceArn"
                )
            )]
        ),
        vpc_configurations=[kinesisanalytics.CfnApplicationV2.VpcConfigurationProperty(
            security_group_ids=["securityGroupIds"],
            subnet_ids=["subnetIds"]
        )],
        zeppelin_application_configuration=kinesisanalytics.CfnApplicationV2.ZeppelinApplicationConfigurationProperty(
            catalog_configuration=kinesisanalytics.CfnApplicationV2.CatalogConfigurationProperty(
                glue_data_catalog_configuration=kinesisanalytics.CfnApplicationV2.GlueDataCatalogConfigurationProperty(
                    database_arn="databaseArn"
                )
            ),
            custom_artifacts_configuration=[kinesisanalytics.CfnApplicationV2.CustomArtifactConfigurationProperty(
                artifact_type="artifactType",

                # the properties below are optional
                maven_reference=kinesisanalytics.CfnApplicationV2.MavenReferenceProperty(
                    artifact_id="artifactId",
                    group_id="groupId",
                    version="version"
                ),
                s3_content_location=kinesisanalytics.CfnApplicationV2.S3ContentLocationProperty(
                    bucket_arn="bucketArn",
                    file_key="fileKey",

                    # the properties below are optional
                    object_version="objectVersion"
                )
            )],
            deploy_as_application_configuration=kinesisanalytics.CfnApplicationV2.DeployAsApplicationConfigurationProperty(
                s3_content_location=kinesisanalytics.CfnApplicationV2.S3ContentBaseLocationProperty(
                    bucket_arn="bucketArn",

                    # the properties below are optional
                    base_path="basePath"
                )
            ),
            monitoring_configuration=kinesisanalytics.CfnApplicationV2.ZeppelinMonitoringConfigurationProperty(
                log_level="logLevel"
            )
        )
    ),
    application_description="applicationDescription",
    application_maintenance_configuration=kinesisanalytics.CfnApplicationV2.ApplicationMaintenanceConfigurationProperty(
        application_maintenance_window_start_time="applicationMaintenanceWindowStartTime"
    ),
    application_mode="applicationMode",
    application_name="applicationName",
    run_configuration=kinesisanalytics.CfnApplicationV2.RunConfigurationProperty(
        application_restore_configuration=kinesisanalytics.CfnApplicationV2.ApplicationRestoreConfigurationProperty(
            application_restore_type="applicationRestoreType",

            # the properties below are optional
            snapshot_name="snapshotName"
        ),
        flink_run_configuration=kinesisanalytics.CfnApplicationV2.FlinkRunConfigurationProperty(
            allow_non_restored_state=False
        )
    ),
    tags=[CfnTag(
        key="key",
        value="value"
    )]
)

Create a new AWS::KinesisAnalyticsV2::Application.

Parameters

scope (Construct) –
- scope in which this resource is defined.
id (str) –
- scoped id of the resource.
runtime_environment (str) – The runtime environment for the application.
service_execution_role (str) – Specifies the IAM role that the application uses to access external resources.
application_configuration (Union[IResolvable, ApplicationConfigurationProperty, Dict[str, Any], None]) – Use this parameter to configure the application.
application_description (Optional[str]) – The description of the application.
application_maintenance_configuration (Union[IResolvable, ApplicationMaintenanceConfigurationProperty, Dict[str, Any], None]) – AWS::KinesisAnalyticsV2::Application.ApplicationMaintenanceConfiguration.
application_mode (Optional[str]) – To create a Kinesis Data Analytics Studio notebook, you must set the mode to INTERACTIVE . However, for a Kinesis Data Analytics for Apache Flink application, the mode is optional.
application_name (Optional[str]) – The name of the application.
run_configuration (Union[IResolvable, RunConfigurationProperty, Dict[str, Any], None]) – AWS::KinesisAnalyticsV2::Application.RunConfiguration.
tags (Optional[Sequence[Union[CfnTag, Dict[str, Any]]]]) – A list of one or more tags to assign to the application. A tag is a key-value pair that identifies an application. Note that the maximum number of application tags includes system tags. The maximum number of user-defined application tags is 50.

Methods

add_deletion_override(path)

Syntactic sugar for addOverride(path, undefined).

Parameters: path (str) – The path of the value to delete.
Return type: None

add_depends_on(target)

Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.

This can be used for resources across stacks (or nested stack) boundaries and the dependency will automatically be transferred to the relevant scope.

Parameters

target (CfnResource) –

Return type

None

add_metadata(key, value)

Add a value to the CloudFormation Resource Metadata.

Parameters

key (str) –
value (Any) –

See

Return type

None

https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html

Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.

add_override(path, value)

Adds an override to the synthesized CloudFormation resource.

To add a property override, either use addPropertyOverride or prefix path with “Properties.” (i.e. Properties.TopicName).

If the override is nested, separate each nested level using a dot (.) in the path parameter. If there is an array as part of the nesting, specify the index in the path.

To include a literal . in the property name, prefix with a \. In most programming languages you will need to write this as "\\." because the \ itself will need to be escaped.

For example:

cfn_resource.add_override("Properties.GlobalSecondaryIndexes.0.Projection.NonKeyAttributes", ["myattribute"])
cfn_resource.add_override("Properties.GlobalSecondaryIndexes.1.ProjectionType", "INCLUDE")

would add the overrides Example:

"Properties": {
   "GlobalSecondaryIndexes": [
     {
       "Projection": {
         "NonKeyAttributes": [ "myattribute" ]
         ...
       }
       ...
     },
     {
       "ProjectionType": "INCLUDE"
       ...
     },
   ]
   ...
}

The value argument to addOverride will not be processed or translated in any way. Pass raw JSON values in here with the correct capitalization for CloudFormation. If you pass CDK classes or structs, they will be rendered with lowercased key names, and CloudFormation will reject the template.

Parameters

path (str) –
- The path of the property, you can use dot notation to override values in complex types. Any intermdediate keys will be created as needed.
value (Any) –
- The value. Could be primitive or complex.

Return type

None

add_property_deletion_override(property_path)

Adds an override that deletes the value of a property from the resource definition.

Parameters: property_path (str) – The path to the property.
Return type: None

add_property_override(property_path, value)

Adds an override to a resource property.

Syntactic sugar for addOverride("Properties.<...>", value).

Parameters

property_path (str) – The path of the property.
value (Any) – The value.

Return type

None

apply_removal_policy(policy=None, *, apply_to_update_replace_policy=None, default=None)

Sets the deletion policy of the resource based on the removal policy specified.

The Removal Policy controls what happens to this resource when it stops being managed by CloudFormation, either because you’ve removed it from the CDK application or because you’ve made a change that requires the resource to be replaced.

The resource can be deleted (RemovalPolicy.DESTROY), or left in your AWS account for data recovery and cleanup later (RemovalPolicy.RETAIN).

Parameters

policy (Optional[RemovalPolicy]) –
apply_to_update_replace_policy (Optional[bool]) – Apply the same deletion policy to the resource’s “UpdateReplacePolicy”. Default: true
default (Optional[RemovalPolicy]) – The default policy to apply in case the removal policy is not defined. Default: - Default value is resource specific. To determine the default value for a resoure, please consult that specific resource’s documentation.

Return type

None

get_att(attribute_name)

Returns a token for an runtime attribute of this resource.

Ideally, use generated attribute accessors (e.g. resource.arn), but this can be used for future compatibility in case there is no generated attribute.

Parameters: attribute_name (str) – The name of the attribute.
Return type: Reference

get_metadata(key)

Retrieve a value value from the CloudFormation Resource Metadata.

Parameters

key (str) –

See

Return type

Any

https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html

Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.

inspect(inspector)

Examines the CloudFormation resource and discloses attributes.

Parameters

inspector (TreeInspector) –

tree inspector to collect and process attributes.

Return type

None

override_logical_id(new_logical_id)

Overrides the auto-generated logical ID with a specific ID.

Parameters: new_logical_id (str) – The new logical ID to use for this stack element.
Return type: None

to_string()

Returns a string representation of this construct.

Return type: str
Returns: a string representation of this resource

Attributes

CFN_RESOURCE_TYPE_NAME = 'AWS::KinesisAnalyticsV2::Application'

application_configuration

Use this parameter to configure the application.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-kinesisanalyticsv2-application.html#cfn-kinesisanalyticsv2-application-applicationconfiguration

application_description

The description of the application.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-kinesisanalyticsv2-application.html#cfn-kinesisanalyticsv2-application-applicationdescription

application_maintenance_configuration

AWS::KinesisAnalyticsV2::Application.ApplicationMaintenanceConfiguration.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-kinesisanalyticsv2-application.html#cfn-kinesisanalyticsv2-application-applicationmaintenanceconfiguration

application_mode

To create a Kinesis Data Analytics Studio notebook, you must set the mode to INTERACTIVE .

However, for a Kinesis Data Analytics for Apache Flink application, the mode is optional.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-kinesisanalyticsv2-application.html#cfn-kinesisanalyticsv2-application-applicationmode

application_name

The name of the application.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-kinesisanalyticsv2-application.html#cfn-kinesisanalyticsv2-application-applicationname

cfn_options: Options for this resource, such as condition, update policy etc.

cfn_resource_type: AWS resource type.

creation_stack

return:

the stack trace of the point where this Resource was created from, sourced from the +metadata+ entry typed +aws:cdk:logicalId+, and with the bottom-most node +internal+ entries filtered.

logical_id

The logical ID for this CloudFormation stack element.

The logical ID of the element is calculated from the path of the resource node in the construct tree.

To override this value, use overrideLogicalId(newLogicalId).

Returns

the logical ID as a stringified token. This value will only get resolved during synthesis.

node: The construct tree node associated with this construct.

ref

Return a string that will be resolved to a CloudFormation { Ref } for this element.

If, by any chance, the intrinsic reference of a resource is not a string, you could coerce it to an IResolvable through Lazy.any({ produce: resource.ref }).

run_configuration

AWS::KinesisAnalyticsV2::Application.RunConfiguration.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-kinesisanalyticsv2-application.html#cfn-kinesisanalyticsv2-application-runconfiguration

runtime_environment

The runtime environment for the application.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-kinesisanalyticsv2-application.html#cfn-kinesisanalyticsv2-application-runtimeenvironment

service_execution_role

Specifies the IAM role that the application uses to access external resources.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-kinesisanalyticsv2-application.html#cfn-kinesisanalyticsv2-application-serviceexecutionrole

stack

The stack in which this element is defined.

CfnElements must be defined within a stack scope (directly or indirectly).

tags

A list of one or more tags to assign to the application.

A tag is a key-value pair that identifies an application. Note that the maximum number of application tags includes system tags. The maximum number of user-defined application tags is 50.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-kinesisanalyticsv2-application.html#cfn-kinesisanalyticsv2-application-tags

Static Methods

classmethod is_cfn_element(x)

Returns true if a construct is a stack element (i.e. part of the synthesized cloudformation template).

Uses duck-typing instead of instanceof to allow stack elements from different versions of this library to be included in the same stack.

Parameters

x (Any) –

Return type

bool

Returns

The construct as a stack element or undefined if it is not a stack element.

classmethod is_cfn_resource(construct)

Check whether the given construct is a CfnResource.

Parameters

construct (IConstruct) –

Return type

bool

classmethod is_construct(x)

Return whether the given object is a Construct.

Parameters

x (Any) –

Return type

bool

ApplicationCodeConfigurationProperty

class CfnApplicationV2.ApplicationCodeConfigurationProperty(*, code_content, code_content_type)

Bases: object

Describes code configuration for an application.

Parameters

code_content (Union[IResolvable, CodeContentProperty, Dict[str, Any]]) – The location and type of the application code.
code_content_type (str) – Specifies whether the code content is in text or zip format.

Link

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationcodeconfiguration.html

ExampleMetadata

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_kinesisanalytics as kinesisanalytics

application_code_configuration_property = kinesisanalytics.CfnApplicationV2.ApplicationCodeConfigurationProperty(
    code_content=kinesisanalytics.CfnApplicationV2.CodeContentProperty(
        s3_content_location=kinesisanalytics.CfnApplicationV2.S3ContentLocationProperty(
            bucket_arn="bucketArn",
            file_key="fileKey",

            # the properties below are optional
            object_version="objectVersion"
        ),
        text_content="textContent",
        zip_file_content="zipFileContent"
    ),
    code_content_type="codeContentType"
)

Attributes

code_content

The location and type of the application code.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationcodeconfiguration.html#cfn-kinesisanalyticsv2-application-applicationcodeconfiguration-codecontent

code_content_type

Specifies whether the code content is in text or zip format.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationcodeconfiguration.html#cfn-kinesisanalyticsv2-application-applicationcodeconfiguration-codecontenttype

ApplicationConfigurationProperty

class CfnApplicationV2.ApplicationConfigurationProperty(*, application_code_configuration=None, application_snapshot_configuration=None, environment_properties=None, flink_application_configuration=None, sql_application_configuration=None, vpc_configurations=None, zeppelin_application_configuration=None)

Bases: object

Specifies the creation parameters for a Kinesis Data Analytics application.

Parameters

application_code_configuration (Union[IResolvable, ApplicationCodeConfigurationProperty, Dict[str, Any], None]) – The code location and type parameters for a Flink-based Kinesis Data Analytics application.
application_snapshot_configuration (Union[IResolvable, ApplicationSnapshotConfigurationProperty, Dict[str, Any], None]) – Describes whether snapshots are enabled for a Flink-based Kinesis Data Analytics application.
environment_properties (Union[IResolvable, EnvironmentPropertiesProperty, Dict[str, Any], None]) – Describes execution properties for a Flink-based Kinesis Data Analytics application.
flink_application_configuration (Union[IResolvable, FlinkApplicationConfigurationProperty, Dict[str, Any], None]) – The creation and update parameters for a Flink-based Kinesis Data Analytics application.
sql_application_configuration (Union[IResolvable, SqlApplicationConfigurationProperty, Dict[str, Any], None]) – The creation and update parameters for a SQL-based Kinesis Data Analytics application.
vpc_configurations (Union[IResolvable, Sequence[Union[IResolvable, VpcConfigurationProperty, Dict[str, Any]]], None]) – The array of descriptions of VPC configurations available to the application.
zeppelin_application_configuration (Union[IResolvable, ZeppelinApplicationConfigurationProperty, Dict[str, Any], None]) – The configuration parameters for a Kinesis Data Analytics Studio notebook.

Link

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationconfiguration.html

ExampleMetadata

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_kinesisanalytics as kinesisanalytics

application_configuration_property = kinesisanalytics.CfnApplicationV2.ApplicationConfigurationProperty(
    application_code_configuration=kinesisanalytics.CfnApplicationV2.ApplicationCodeConfigurationProperty(
        code_content=kinesisanalytics.CfnApplicationV2.CodeContentProperty(
            s3_content_location=kinesisanalytics.CfnApplicationV2.S3ContentLocationProperty(
                bucket_arn="bucketArn",
                file_key="fileKey",

                # the properties below are optional
                object_version="objectVersion"
            ),
            text_content="textContent",
            zip_file_content="zipFileContent"
        ),
        code_content_type="codeContentType"
    ),
    application_snapshot_configuration=kinesisanalytics.CfnApplicationV2.ApplicationSnapshotConfigurationProperty(
        snapshots_enabled=False
    ),
    environment_properties=kinesisanalytics.CfnApplicationV2.EnvironmentPropertiesProperty(
        property_groups=[kinesisanalytics.CfnApplicationV2.PropertyGroupProperty(
            property_group_id="propertyGroupId",
            property_map={
                "property_map_key": "propertyMap"
            }
        )]
    ),
    flink_application_configuration=kinesisanalytics.CfnApplicationV2.FlinkApplicationConfigurationProperty(
        checkpoint_configuration=kinesisanalytics.CfnApplicationV2.CheckpointConfigurationProperty(
            configuration_type="configurationType",

            # the properties below are optional
            checkpointing_enabled=False,
            checkpoint_interval=123,
            min_pause_between_checkpoints=123
        ),
        monitoring_configuration=kinesisanalytics.CfnApplicationV2.MonitoringConfigurationProperty(
            configuration_type="configurationType",

            # the properties below are optional
            log_level="logLevel",
            metrics_level="metricsLevel"
        ),
        parallelism_configuration=kinesisanalytics.CfnApplicationV2.ParallelismConfigurationProperty(
            configuration_type="configurationType",

            # the properties below are optional
            auto_scaling_enabled=False,
            parallelism=123,
            parallelism_per_kpu=123
        )
    ),
    sql_application_configuration=kinesisanalytics.CfnApplicationV2.SqlApplicationConfigurationProperty(
        inputs=[kinesisanalytics.CfnApplicationV2.InputProperty(
            input_schema=kinesisanalytics.CfnApplicationV2.InputSchemaProperty(
                record_columns=[kinesisanalytics.CfnApplicationV2.RecordColumnProperty(
                    name="name",
                    sql_type="sqlType",

                    # the properties below are optional
                    mapping="mapping"
                )],
                record_format=kinesisanalytics.CfnApplicationV2.RecordFormatProperty(
                    record_format_type="recordFormatType",

                    # the properties below are optional
                    mapping_parameters=kinesisanalytics.CfnApplicationV2.MappingParametersProperty(
                        csv_mapping_parameters=kinesisanalytics.CfnApplicationV2.CSVMappingParametersProperty(
                            record_column_delimiter="recordColumnDelimiter",
                            record_row_delimiter="recordRowDelimiter"
                        ),
                        json_mapping_parameters=kinesisanalytics.CfnApplicationV2.JSONMappingParametersProperty(
                            record_row_path="recordRowPath"
                        )
                    )
                ),

                # the properties below are optional
                record_encoding="recordEncoding"
            ),
            name_prefix="namePrefix",

            # the properties below are optional
            input_parallelism=kinesisanalytics.CfnApplicationV2.InputParallelismProperty(
                count=123
            ),
            input_processing_configuration=kinesisanalytics.CfnApplicationV2.InputProcessingConfigurationProperty(
                input_lambda_processor=kinesisanalytics.CfnApplicationV2.InputLambdaProcessorProperty(
                    resource_arn="resourceArn"
                )
            ),
            kinesis_firehose_input=kinesisanalytics.CfnApplicationV2.KinesisFirehoseInputProperty(
                resource_arn="resourceArn"
            ),
            kinesis_streams_input=kinesisanalytics.CfnApplicationV2.KinesisStreamsInputProperty(
                resource_arn="resourceArn"
            )
        )]
    ),
    vpc_configurations=[kinesisanalytics.CfnApplicationV2.VpcConfigurationProperty(
        security_group_ids=["securityGroupIds"],
        subnet_ids=["subnetIds"]
    )],
    zeppelin_application_configuration=kinesisanalytics.CfnApplicationV2.ZeppelinApplicationConfigurationProperty(
        catalog_configuration=kinesisanalytics.CfnApplicationV2.CatalogConfigurationProperty(
            glue_data_catalog_configuration=kinesisanalytics.CfnApplicationV2.GlueDataCatalogConfigurationProperty(
                database_arn="databaseArn"
            )
        ),
        custom_artifacts_configuration=[kinesisanalytics.CfnApplicationV2.CustomArtifactConfigurationProperty(
            artifact_type="artifactType",

            # the properties below are optional
            maven_reference=kinesisanalytics.CfnApplicationV2.MavenReferenceProperty(
                artifact_id="artifactId",
                group_id="groupId",
                version="version"
            ),
            s3_content_location=kinesisanalytics.CfnApplicationV2.S3ContentLocationProperty(
                bucket_arn="bucketArn",
                file_key="fileKey",

                # the properties below are optional
                object_version="objectVersion"
            )
        )],
        deploy_as_application_configuration=kinesisanalytics.CfnApplicationV2.DeployAsApplicationConfigurationProperty(
            s3_content_location=kinesisanalytics.CfnApplicationV2.S3ContentBaseLocationProperty(
                bucket_arn="bucketArn",

                # the properties below are optional
                base_path="basePath"
            )
        ),
        monitoring_configuration=kinesisanalytics.CfnApplicationV2.ZeppelinMonitoringConfigurationProperty(
            log_level="logLevel"
        )
    )
)

Attributes

application_code_configuration

The code location and type parameters for a Flink-based Kinesis Data Analytics application.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationconfiguration.html#cfn-kinesisanalyticsv2-application-applicationconfiguration-applicationcodeconfiguration

application_snapshot_configuration

Describes whether snapshots are enabled for a Flink-based Kinesis Data Analytics application.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationconfiguration.html#cfn-kinesisanalyticsv2-application-applicationconfiguration-applicationsnapshotconfiguration

environment_properties

Describes execution properties for a Flink-based Kinesis Data Analytics application.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationconfiguration.html#cfn-kinesisanalyticsv2-application-applicationconfiguration-environmentproperties

flink_application_configuration

The creation and update parameters for a Flink-based Kinesis Data Analytics application.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationconfiguration.html#cfn-kinesisanalyticsv2-application-applicationconfiguration-flinkapplicationconfiguration

sql_application_configuration

The creation and update parameters for a SQL-based Kinesis Data Analytics application.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationconfiguration.html#cfn-kinesisanalyticsv2-application-applicationconfiguration-sqlapplicationconfiguration

vpc_configurations

The array of descriptions of VPC configurations available to the application.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationconfiguration.html#cfn-kinesisanalyticsv2-application-applicationconfiguration-vpcconfigurations

zeppelin_application_configuration

The configuration parameters for a Kinesis Data Analytics Studio notebook.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationconfiguration.html#cfn-kinesisanalyticsv2-application-applicationconfiguration-zeppelinapplicationconfiguration

ApplicationMaintenanceConfigurationProperty

class CfnApplicationV2.ApplicationMaintenanceConfigurationProperty(*, application_maintenance_window_start_time)

Bases: object

Specifies the maintence window parameters for a Kinesis Data Analytics application.

Parameters: application_maintenance_window_start_time (str) – Specifies the start time of the maintence window.
Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationmaintenanceconfiguration.html
ExampleMetadata: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_kinesisanalytics as kinesisanalytics

application_maintenance_configuration_property = kinesisanalytics.CfnApplicationV2.ApplicationMaintenanceConfigurationProperty(
    application_maintenance_window_start_time="applicationMaintenanceWindowStartTime"
)

Attributes

application_maintenance_window_start_time

Specifies the start time of the maintence window.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationmaintenanceconfiguration.html#cfn-kinesisanalyticsv2-application-applicationmaintenanceconfiguration-applicationmaintenancewindowstarttime

ApplicationRestoreConfigurationProperty

class CfnApplicationV2.ApplicationRestoreConfigurationProperty(*, application_restore_type, snapshot_name=None)

Bases: object

Specifies the method and snapshot to use when restarting an application using previously saved application state.

Parameters

application_restore_type (str) – Specifies how the application should be restored.
snapshot_name (Optional[str]) – The identifier of an existing snapshot of application state to use to restart an application. The application uses this value if RESTORE_FROM_CUSTOM_SNAPSHOT is specified for the ApplicationRestoreType .

Link

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationrestoreconfiguration.html

ExampleMetadata

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_kinesisanalytics as kinesisanalytics

application_restore_configuration_property = kinesisanalytics.CfnApplicationV2.ApplicationRestoreConfigurationProperty(
    application_restore_type="applicationRestoreType",

    # the properties below are optional
    snapshot_name="snapshotName"
)

Attributes

application_restore_type

Specifies how the application should be restored.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationrestoreconfiguration.html#cfn-kinesisanalyticsv2-application-applicationrestoreconfiguration-applicationrestoretype

snapshot_name

The identifier of an existing snapshot of application state to use to restart an application.

The application uses this value if RESTORE_FROM_CUSTOM_SNAPSHOT is specified for the ApplicationRestoreType .

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationrestoreconfiguration.html#cfn-kinesisanalyticsv2-application-applicationrestoreconfiguration-snapshotname

ApplicationSnapshotConfigurationProperty

class CfnApplicationV2.ApplicationSnapshotConfigurationProperty(*, snapshots_enabled)

Bases: object

Describes whether snapshots are enabled for a Flink-based Kinesis Data Analytics application.

Parameters: snapshots_enabled (Union[bool, IResolvable]) – Describes whether snapshots are enabled for a Flink-based Kinesis Data Analytics application.
Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationsnapshotconfiguration.html
ExampleMetadata: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_kinesisanalytics as kinesisanalytics

application_snapshot_configuration_property = kinesisanalytics.CfnApplicationV2.ApplicationSnapshotConfigurationProperty(
    snapshots_enabled=False
)

Attributes

snapshots_enabled

Describes whether snapshots are enabled for a Flink-based Kinesis Data Analytics application.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationsnapshotconfiguration.html#cfn-kinesisanalyticsv2-application-applicationsnapshotconfiguration-snapshotsenabled

CSVMappingParametersProperty

class CfnApplicationV2.CSVMappingParametersProperty(*, record_column_delimiter, record_row_delimiter)

Bases: object

For a SQL-based Kinesis Data Analytics application, provides additional mapping information when the record format uses delimiters, such as CSV.

For example, the following sample records use CSV format, where the records use the ‘n’ as the row delimiter and a comma (“,”) as the column delimiter:

"name1", "address1"

"name2", "address2"

Parameters

record_column_delimiter (str) – The column delimiter. For example, in a CSV format, a comma (“,”) is the typical column delimiter.
record_row_delimiter (str) – The row delimiter. For example, in a CSV format, ‘n’ is the typical row delimiter.

Link

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-csvmappingparameters.html

ExampleMetadata

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_kinesisanalytics as kinesisanalytics

c_sVMapping_parameters_property = kinesisanalytics.CfnApplicationV2.CSVMappingParametersProperty(
    record_column_delimiter="recordColumnDelimiter",
    record_row_delimiter="recordRowDelimiter"
)

Attributes

record_column_delimiter

The column delimiter.

For example, in a CSV format, a comma (“,”) is the typical column delimiter.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-csvmappingparameters.html#cfn-kinesisanalyticsv2-application-csvmappingparameters-recordcolumndelimiter

record_row_delimiter

The row delimiter.

For example, in a CSV format, ‘n’ is the typical row delimiter.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-csvmappingparameters.html#cfn-kinesisanalyticsv2-application-csvmappingparameters-recordrowdelimiter

CatalogConfigurationProperty

class CfnApplicationV2.CatalogConfigurationProperty(*, glue_data_catalog_configuration=None)

Bases: object

The configuration parameters for the default Amazon Glue database.

You use this database for SQL queries that you write in a Kinesis Data Analytics Studio notebook.

Parameters: glue_data_catalog_configuration (Union[IResolvable, GlueDataCatalogConfigurationProperty, Dict[str, Any], None]) – The configuration parameters for the default Amazon Glue database. You use this database for Apache Flink SQL queries and table API transforms that you write in a Kinesis Data Analytics Studio notebook.
Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-catalogconfiguration.html
ExampleMetadata: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_kinesisanalytics as kinesisanalytics

catalog_configuration_property = kinesisanalytics.CfnApplicationV2.CatalogConfigurationProperty(
    glue_data_catalog_configuration=kinesisanalytics.CfnApplicationV2.GlueDataCatalogConfigurationProperty(
        database_arn="databaseArn"
    )
)

Attributes

glue_data_catalog_configuration

The configuration parameters for the default Amazon Glue database.

You use this database for Apache Flink SQL queries and table API transforms that you write in a Kinesis Data Analytics Studio notebook.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-catalogconfiguration.html#cfn-kinesisanalyticsv2-application-catalogconfiguration-gluedatacatalogconfiguration

CheckpointConfigurationProperty

class CfnApplicationV2.CheckpointConfigurationProperty(*, configuration_type, checkpointing_enabled=None, checkpoint_interval=None, min_pause_between_checkpoints=None)

Bases: object

Describes an application’s checkpointing configuration.

Checkpointing is the process of persisting application state for fault tolerance. For more information, see Checkpoints for Fault Tolerance in the Apache Flink Documentation .

Parameters

configuration_type (str) – Describes whether the application uses Kinesis Data Analytics’ default checkpointing behavior. You must set this property to CUSTOM in order to set the CheckpointingEnabled , CheckpointInterval , or MinPauseBetweenCheckpoints parameters. .. epigraph:: If this value is set to DEFAULT , the application will use the following values, even if they are set to other values using APIs or application code: - CheckpointingEnabled: true - CheckpointInterval: 60000 - MinPauseBetweenCheckpoints: 5000
checkpointing_enabled (Union[bool, IResolvable, None]) – Describes whether checkpointing is enabled for a Flink-based Kinesis Data Analytics application. .. epigraph:: If CheckpointConfiguration.ConfigurationType is DEFAULT , the application will use a CheckpointingEnabled value of true , even if this value is set to another value using this API or in application code.
checkpoint_interval (Union[int, float, None]) – Describes the interval in milliseconds between checkpoint operations. .. epigraph:: If CheckpointConfiguration.ConfigurationType is DEFAULT , the application will use a CheckpointInterval value of 60000, even if this value is set to another value using this API or in application code.
min_pause_between_checkpoints (Union[int, float, None]) –
Describes the minimum time in milliseconds after a checkpoint operation completes that a new checkpoint operation can start. If a checkpoint operation takes longer than the CheckpointInterval , the application otherwise performs continual checkpoint operations. For more information, see Tuning Checkpointing in the Apache Flink Documentation . .. epigraph:: If CheckpointConfiguration.ConfigurationType is DEFAULT , the application will use a MinPauseBetweenCheckpoints value of 5000, even if this value is set using this API or in application code.

Link

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-checkpointconfiguration.html

ExampleMetadata

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_kinesisanalytics as kinesisanalytics

checkpoint_configuration_property = kinesisanalytics.CfnApplicationV2.CheckpointConfigurationProperty(
    configuration_type="configurationType",

    # the properties below are optional
    checkpointing_enabled=False,
    checkpoint_interval=123,
    min_pause_between_checkpoints=123
)

Attributes

checkpoint_interval

Describes the interval in milliseconds between checkpoint operations.

If CheckpointConfiguration.ConfigurationType is DEFAULT , the application will use a CheckpointInterval value of 60000, even if this value is set to another value using this API or in application code.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-checkpointconfiguration.html#cfn-kinesisanalyticsv2-application-checkpointconfiguration-checkpointinterval

checkpointing_enabled

Describes whether checkpointing is enabled for a Flink-based Kinesis Data Analytics application.

If CheckpointConfiguration.ConfigurationType is DEFAULT , the application will use a CheckpointingEnabled value of true , even if this value is set to another value using this API or in application code.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-checkpointconfiguration.html#cfn-kinesisanalyticsv2-application-checkpointconfiguration-checkpointingenabled

configuration_type

Describes whether the application uses Kinesis Data Analytics’ default checkpointing behavior.

You must set this property to CUSTOM in order to set the CheckpointingEnabled , CheckpointInterval , or MinPauseBetweenCheckpoints parameters. .. epigraph:

If this value is set to ``DEFAULT`` , the application will use the following values, even if they are set to other values using APIs or application code:

- *CheckpointingEnabled:* true
- *CheckpointInterval:* 60000
- *MinPauseBetweenCheckpoints:* 5000

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-checkpointconfiguration.html#cfn-kinesisanalyticsv2-application-checkpointconfiguration-configurationtype

min_pause_between_checkpoints

Describes the minimum time in milliseconds after a checkpoint operation completes that a new checkpoint operation can start.

If a checkpoint operation takes longer than the CheckpointInterval , the application otherwise performs continual checkpoint operations. For more information, see Tuning Checkpointing in the Apache Flink Documentation . .. epigraph:

If ``CheckpointConfiguration.ConfigurationType`` is ``DEFAULT`` , the application will use a ``MinPauseBetweenCheckpoints`` value of 5000, even if this value is set using this API or in application code.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-checkpointconfiguration.html#cfn-kinesisanalyticsv2-application-checkpointconfiguration-minpausebetweencheckpoints

CodeContentProperty

class CfnApplicationV2.CodeContentProperty(*, s3_content_location=None, text_content=None, zip_file_content=None)

Bases: object

Specifies either the application code, or the location of the application code, for a Flink-based Kinesis Data Analytics application.

Parameters

s3_content_location (Union[IResolvable, S3ContentLocationProperty, Dict[str, Any], None]) – Information about the Amazon S3 bucket that contains the application code.
text_content (Optional[str]) – The text-format code for a Flink-based Kinesis Data Analytics application.
zip_file_content (Optional[str]) – The zip-format code for a Flink-based Kinesis Data Analytics application.

Link

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-codecontent.html

ExampleMetadata

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_kinesisanalytics as kinesisanalytics

code_content_property = kinesisanalytics.CfnApplicationV2.CodeContentProperty(
    s3_content_location=kinesisanalytics.CfnApplicationV2.S3ContentLocationProperty(
        bucket_arn="bucketArn",
        file_key="fileKey",

        # the properties below are optional
        object_version="objectVersion"
    ),
    text_content="textContent",
    zip_file_content="zipFileContent"
)

Attributes

s3_content_location

Information about the Amazon S3 bucket that contains the application code.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-codecontent.html#cfn-kinesisanalyticsv2-application-codecontent-s3contentlocation

text_content

The text-format code for a Flink-based Kinesis Data Analytics application.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-codecontent.html#cfn-kinesisanalyticsv2-application-codecontent-textcontent

zip_file_content

The zip-format code for a Flink-based Kinesis Data Analytics application.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-codecontent.html#cfn-kinesisanalyticsv2-application-codecontent-zipfilecontent

CustomArtifactConfigurationProperty

class CfnApplicationV2.CustomArtifactConfigurationProperty(*, artifact_type, maven_reference=None, s3_content_location=None)

Bases: object

The configuration of connectors and user-defined functions.

Parameters

artifact_type (str) – Set this to either UDF or DEPENDENCY_JAR . UDF stands for user-defined functions. This type of artifact must be in an S3 bucket. A DEPENDENCY_JAR can be in either Maven or an S3 bucket.
maven_reference (Union[IResolvable, MavenReferenceProperty, Dict[str, Any], None]) – The parameters required to fully specify a Maven reference.
s3_content_location (Union[IResolvable, S3ContentLocationProperty, Dict[str, Any], None]) – The location of the custom artifacts.

Link

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-customartifactconfiguration.html

ExampleMetadata

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_kinesisanalytics as kinesisanalytics

custom_artifact_configuration_property = kinesisanalytics.CfnApplicationV2.CustomArtifactConfigurationProperty(
    artifact_type="artifactType",

    # the properties below are optional
    maven_reference=kinesisanalytics.CfnApplicationV2.MavenReferenceProperty(
        artifact_id="artifactId",
        group_id="groupId",
        version="version"
    ),
    s3_content_location=kinesisanalytics.CfnApplicationV2.S3ContentLocationProperty(
        bucket_arn="bucketArn",
        file_key="fileKey",

        # the properties below are optional
        object_version="objectVersion"
    )
)

Attributes

artifact_type

Set this to either UDF or DEPENDENCY_JAR .

UDF stands for user-defined functions. This type of artifact must be in an S3 bucket. A DEPENDENCY_JAR can be in either Maven or an S3 bucket.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-customartifactconfiguration.html#cfn-kinesisanalyticsv2-application-customartifactconfiguration-artifacttype

maven_reference

The parameters required to fully specify a Maven reference.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-customartifactconfiguration.html#cfn-kinesisanalyticsv2-application-customartifactconfiguration-mavenreference

s3_content_location

The location of the custom artifacts.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-customartifactconfiguration.html#cfn-kinesisanalyticsv2-application-customartifactconfiguration-s3contentlocation

DeployAsApplicationConfigurationProperty

class CfnApplicationV2.DeployAsApplicationConfigurationProperty(*, s3_content_location)

Bases: object

The information required to deploy a Kinesis Data Analytics Studio notebook as an application with durable state.

Parameters: s3_content_location (Union[IResolvable, S3ContentBaseLocationProperty, Dict[str, Any]]) – The description of an Amazon S3 object that contains the Amazon Data Analytics application, including the Amazon Resource Name (ARN) of the S3 bucket, the name of the Amazon S3 object that contains the data, and the version number of the Amazon S3 object that contains the data.
Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-deployasapplicationconfiguration.html
ExampleMetadata: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_kinesisanalytics as kinesisanalytics

deploy_as_application_configuration_property = kinesisanalytics.CfnApplicationV2.DeployAsApplicationConfigurationProperty(
    s3_content_location=kinesisanalytics.CfnApplicationV2.S3ContentBaseLocationProperty(
        bucket_arn="bucketArn",

        # the properties below are optional
        base_path="basePath"
    )
)

Attributes

s3_content_location

The description of an Amazon S3 object that contains the Amazon Data Analytics application, including the Amazon Resource Name (ARN) of the S3 bucket, the name of the Amazon S3 object that contains the data, and the version number of the Amazon S3 object that contains the data.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-deployasapplicationconfiguration.html#cfn-kinesisanalyticsv2-application-deployasapplicationconfiguration-s3contentlocation

EnvironmentPropertiesProperty

class CfnApplicationV2.EnvironmentPropertiesProperty(*, property_groups=None)

Bases: object

Describes execution properties for a Flink-based Kinesis Data Analytics application.

Parameters: property_groups (Union[IResolvable, Sequence[Union[IResolvable, PropertyGroupProperty, Dict[str, Any]]], None]) – Describes the execution property groups.
Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-environmentproperties.html
ExampleMetadata: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_kinesisanalytics as kinesisanalytics

environment_properties_property = kinesisanalytics.CfnApplicationV2.EnvironmentPropertiesProperty(
    property_groups=[kinesisanalytics.CfnApplicationV2.PropertyGroupProperty(
        property_group_id="propertyGroupId",
        property_map={
            "property_map_key": "propertyMap"
        }
    )]
)

Attributes

property_groups

Describes the execution property groups.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-environmentproperties.html#cfn-kinesisanalyticsv2-application-environmentproperties-propertygroups

FlinkApplicationConfigurationProperty

class CfnApplicationV2.FlinkApplicationConfigurationProperty(*, checkpoint_configuration=None, monitoring_configuration=None, parallelism_configuration=None)

Bases: object

Describes configuration parameters for a Flink-based Kinesis Data Analytics application or a Studio notebook.

Parameters

checkpoint_configuration (Union[IResolvable, CheckpointConfigurationProperty, Dict[str, Any], None]) –
Describes an application’s checkpointing configuration. Checkpointing is the process of persisting application state for fault tolerance. For more information, see Checkpoints for Fault Tolerance in the Apache Flink Documentation .
monitoring_configuration (Union[IResolvable, MonitoringConfigurationProperty, Dict[str, Any], None]) – Describes configuration parameters for Amazon CloudWatch logging for an application.
parallelism_configuration (Union[IResolvable, ParallelismConfigurationProperty, Dict[str, Any], None]) – Describes parameters for how an application executes multiple tasks simultaneously.

Link

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-flinkapplicationconfiguration.html

ExampleMetadata

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_kinesisanalytics as kinesisanalytics

flink_application_configuration_property = kinesisanalytics.CfnApplicationV2.FlinkApplicationConfigurationProperty(
    checkpoint_configuration=kinesisanalytics.CfnApplicationV2.CheckpointConfigurationProperty(
        configuration_type="configurationType",

        # the properties below are optional
        checkpointing_enabled=False,
        checkpoint_interval=123,
        min_pause_between_checkpoints=123
    ),
    monitoring_configuration=kinesisanalytics.CfnApplicationV2.MonitoringConfigurationProperty(
        configuration_type="configurationType",

        # the properties below are optional
        log_level="logLevel",
        metrics_level="metricsLevel"
    ),
    parallelism_configuration=kinesisanalytics.CfnApplicationV2.ParallelismConfigurationProperty(
        configuration_type="configurationType",

        # the properties below are optional
        auto_scaling_enabled=False,
        parallelism=123,
        parallelism_per_kpu=123
    )
)

Attributes

checkpoint_configuration

Describes an application’s checkpointing configuration.

Checkpointing is the process of persisting application state for fault tolerance. For more information, see Checkpoints for Fault Tolerance in the Apache Flink Documentation .

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-flinkapplicationconfiguration.html#cfn-kinesisanalyticsv2-application-flinkapplicationconfiguration-checkpointconfiguration

monitoring_configuration

Describes configuration parameters for Amazon CloudWatch logging for an application.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-flinkapplicationconfiguration.html#cfn-kinesisanalyticsv2-application-flinkapplicationconfiguration-monitoringconfiguration

parallelism_configuration

Describes parameters for how an application executes multiple tasks simultaneously.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-flinkapplicationconfiguration.html#cfn-kinesisanalyticsv2-application-flinkapplicationconfiguration-parallelismconfiguration

FlinkRunConfigurationProperty

class CfnApplicationV2.FlinkRunConfigurationProperty(*, allow_non_restored_state=None)

Bases: object

Describes the starting parameters for a Flink-based Kinesis Data Analytics application.

Parameters

allow_non_restored_state (Union[bool, IResolvable, None]) –

When restoring from a snapshot, specifies whether the runtime is allowed to skip a state that cannot be mapped to the new program. This will happen if the program is updated between snapshots to remove stateful parameters, and state data in the snapshot no longer corresponds to valid application data. For more information, see Allowing Non-Restored State in the Apache Flink documentation . .. epigraph:: This value defaults to false . If you update your application without specifying this parameter, AllowNonRestoredState will be set to false , even if it was previously set to true .

Link

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-flinkrunconfiguration.html

ExampleMetadata

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_kinesisanalytics as kinesisanalytics

flink_run_configuration_property = kinesisanalytics.CfnApplicationV2.FlinkRunConfigurationProperty(
    allow_non_restored_state=False
)

Attributes

allow_non_restored_state

When restoring from a snapshot, specifies whether the runtime is allowed to skip a state that cannot be mapped to the new program.

This will happen if the program is updated between snapshots to remove stateful parameters, and state data in the snapshot no longer corresponds to valid application data. For more information, see Allowing Non-Restored State in the Apache Flink documentation . .. epigraph:

This value defaults to ``false`` . If you update your application without specifying this parameter, ``AllowNonRestoredState`` will be set to ``false`` , even if it was previously set to ``true`` .

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-flinkrunconfiguration.html#cfn-kinesisanalyticsv2-application-flinkrunconfiguration-allownonrestoredstate

GlueDataCatalogConfigurationProperty

class CfnApplicationV2.GlueDataCatalogConfigurationProperty(*, database_arn=None)

Bases: object

The configuration of the Glue Data Catalog that you use for Apache Flink SQL queries and table API transforms that you write in an application.

Parameters: database_arn (Optional[str]) – The Amazon Resource Name (ARN) of the database.
Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-gluedatacatalogconfiguration.html
ExampleMetadata: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_kinesisanalytics as kinesisanalytics

glue_data_catalog_configuration_property = kinesisanalytics.CfnApplicationV2.GlueDataCatalogConfigurationProperty(
    database_arn="databaseArn"
)

Attributes

database_arn

The Amazon Resource Name (ARN) of the database.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-gluedatacatalogconfiguration.html#cfn-kinesisanalyticsv2-application-gluedatacatalogconfiguration-databasearn

InputLambdaProcessorProperty

class CfnApplicationV2.InputLambdaProcessorProperty(*, resource_arn)

Bases: object

An object that contains the Amazon Resource Name (ARN) of the Amazon Lambda function that is used to preprocess records in the stream in a SQL-based Kinesis Data Analytics application.

Parameters: resource_arn (str) – The ARN of the Amazon Lambda function that operates on records in the stream. .. epigraph:: To specify an earlier version of the Lambda function than the latest, include the Lambda function version in the Lambda function ARN. For more information about Lambda ARNs, see Example ARNs: Amazon Lambda
Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-inputlambdaprocessor.html
ExampleMetadata: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_kinesisanalytics as kinesisanalytics

input_lambda_processor_property = kinesisanalytics.CfnApplicationV2.InputLambdaProcessorProperty(
    resource_arn="resourceArn"
)

Attributes

resource_arn

The ARN of the Amazon Lambda function that operates on records in the stream.

To specify an earlier version of the Lambda function than the latest, include the Lambda function version in the Lambda function ARN. For more information about Lambda ARNs, see Example ARNs: Amazon Lambda

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-inputlambdaprocessor.html#cfn-kinesisanalyticsv2-application-inputlambdaprocessor-resourcearn

InputParallelismProperty

class CfnApplicationV2.InputParallelismProperty(*, count=None)

Bases: object

For a SQL-based Kinesis Data Analytics application, describes the number of in-application streams to create for a given streaming source.

Parameters: count (Union[int, float, None]) – The number of in-application streams to create.
Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-inputparallelism.html
ExampleMetadata: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_kinesisanalytics as kinesisanalytics

input_parallelism_property = kinesisanalytics.CfnApplicationV2.InputParallelismProperty(
    count=123
)

Attributes

count

The number of in-application streams to create.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-inputparallelism.html#cfn-kinesisanalyticsv2-application-inputparallelism-count

InputProcessingConfigurationProperty

class CfnApplicationV2.InputProcessingConfigurationProperty(*, input_lambda_processor=None)

Bases: object

For an SQL-based Amazon Kinesis Data Analytics application, describes a processor that is used to preprocess the records in the stream before being processed by your application code.

Currently, the only input processor available is Amazon Lambda .

Parameters: input_lambda_processor (Union[IResolvable, InputLambdaProcessorProperty, Dict[str, Any], None]) – The InputLambdaProcessor that is used to preprocess the records in the stream before being processed by your application code.
Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-inputprocessingconfiguration.html
ExampleMetadata: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_kinesisanalytics as kinesisanalytics

input_processing_configuration_property = kinesisanalytics.CfnApplicationV2.InputProcessingConfigurationProperty(
    input_lambda_processor=kinesisanalytics.CfnApplicationV2.InputLambdaProcessorProperty(
        resource_arn="resourceArn"
    )
)

Attributes

input_lambda_processor

//docs.aws.amazon.com/kinesisanalytics/latest/apiv2/API_InputLambdaProcessor.html>`_ that is used to preprocess the records in the stream before being processed by your application code.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-inputprocessingconfiguration.html#cfn-kinesisanalyticsv2-application-inputprocessingconfiguration-inputlambdaprocessor
Type: The `InputLambdaProcessor <https

InputProperty

class CfnApplicationV2.InputProperty(*, input_schema, name_prefix, input_parallelism=None, input_processing_configuration=None, kinesis_firehose_input=None, kinesis_streams_input=None)

Bases: object

When you configure the application input for a SQL-based Kinesis Data Analytics application, you specify the streaming source, the in-application stream name that is created, and the mapping between the two.

Parameters

input_schema (Union[IResolvable, InputSchemaProperty, Dict[str, Any]]) – Describes the format of the data in the streaming source, and how each data element maps to corresponding columns in the in-application stream that is being created. Also used to describe the format of the reference data source.
name_prefix (str) – The name prefix to use when creating an in-application stream. Suppose that you specify a prefix ” MyInApplicationStream .” Kinesis Data Analytics then creates one or more (as per the InputParallelism count you specified) in-application streams with the names ” MyInApplicationStream_001 ,” ” MyInApplicationStream_002 ,” and so on.
input_parallelism (Union[IResolvable, InputParallelismProperty, Dict[str, Any], None]) – Describes the number of in-application streams to create.
input_processing_configuration (Union[IResolvable, InputProcessingConfigurationProperty, Dict[str, Any], None]) –
The InputProcessingConfiguration for the input. An input processor transforms records as they are received from the stream, before the application’s SQL code executes. Currently, the only input processing configuration available is InputLambdaProcessor .
kinesis_firehose_input (Union[IResolvable, KinesisFirehoseInputProperty, Dict[str, Any], None]) – If the streaming source is an Amazon Kinesis Data Firehose delivery stream, identifies the delivery stream’s ARN.
kinesis_streams_input (Union[IResolvable, KinesisStreamsInputProperty, Dict[str, Any], None]) – If the streaming source is an Amazon Kinesis data stream, identifies the stream’s Amazon Resource Name (ARN).

Link

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-input.html

ExampleMetadata

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_kinesisanalytics as kinesisanalytics

input_property = kinesisanalytics.CfnApplicationV2.InputProperty(
    input_schema=kinesisanalytics.CfnApplicationV2.InputSchemaProperty(
        record_columns=[kinesisanalytics.CfnApplicationV2.RecordColumnProperty(
            name="name",
            sql_type="sqlType",

            # the properties below are optional
            mapping="mapping"
        )],
        record_format=kinesisanalytics.CfnApplicationV2.RecordFormatProperty(
            record_format_type="recordFormatType",

            # the properties below are optional
            mapping_parameters=kinesisanalytics.CfnApplicationV2.MappingParametersProperty(
                csv_mapping_parameters=kinesisanalytics.CfnApplicationV2.CSVMappingParametersProperty(
                    record_column_delimiter="recordColumnDelimiter",
                    record_row_delimiter="recordRowDelimiter"
                ),
                json_mapping_parameters=kinesisanalytics.CfnApplicationV2.JSONMappingParametersProperty(
                    record_row_path="recordRowPath"
                )
            )
        ),

        # the properties below are optional
        record_encoding="recordEncoding"
    ),
    name_prefix="namePrefix",

    # the properties below are optional
    input_parallelism=kinesisanalytics.CfnApplicationV2.InputParallelismProperty(
        count=123
    ),
    input_processing_configuration=kinesisanalytics.CfnApplicationV2.InputProcessingConfigurationProperty(
        input_lambda_processor=kinesisanalytics.CfnApplicationV2.InputLambdaProcessorProperty(
            resource_arn="resourceArn"
        )
    ),
    kinesis_firehose_input=kinesisanalytics.CfnApplicationV2.KinesisFirehoseInputProperty(
        resource_arn="resourceArn"
    ),
    kinesis_streams_input=kinesisanalytics.CfnApplicationV2.KinesisStreamsInputProperty(
        resource_arn="resourceArn"
    )
)

Attributes

input_parallelism

Describes the number of in-application streams to create.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-input.html#cfn-kinesisanalyticsv2-application-input-inputparallelism

input_processing_configuration

//docs.aws.amazon.com/kinesisanalytics/latest/apiv2/API_InputLambdaProcessor.html>`_ .

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-input.html#cfn-kinesisanalyticsv2-application-input-inputprocessingconfiguration
Type: The `InputProcessingConfiguration <https
Type: //docs.aws.amazon.com/kinesisanalytics/latest/apiv2/API_InputProcessingConfiguration.html>`_ for the input. An input processor transforms records as they are received from the stream, before the application’s SQL code executes. Currently, the only input processing configuration available is `InputLambdaProcessor <https

input_schema

Describes the format of the data in the streaming source, and how each data element maps to corresponding columns in the in-application stream that is being created.

Also used to describe the format of the reference data source.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-input.html#cfn-kinesisanalyticsv2-application-input-inputschema

kinesis_firehose_input

If the streaming source is an Amazon Kinesis Data Firehose delivery stream, identifies the delivery stream’s ARN.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-input.html#cfn-kinesisanalyticsv2-application-input-kinesisfirehoseinput

kinesis_streams_input

If the streaming source is an Amazon Kinesis data stream, identifies the stream’s Amazon Resource Name (ARN).

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-input.html#cfn-kinesisanalyticsv2-application-input-kinesisstreamsinput

name_prefix

The name prefix to use when creating an in-application stream.

Suppose that you specify a prefix ” MyInApplicationStream .” Kinesis Data Analytics then creates one or more (as per the InputParallelism count you specified) in-application streams with the names ” MyInApplicationStream_001 ,” ” MyInApplicationStream_002 ,” and so on.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-input.html#cfn-kinesisanalyticsv2-application-input-nameprefix

InputSchemaProperty

class CfnApplicationV2.InputSchemaProperty(*, record_columns, record_format, record_encoding=None)

Bases: object

For a SQL-based Kinesis Data Analytics application, describes the format of the data in the streaming source, and how each data element maps to corresponding columns created in the in-application stream.

Parameters

record_columns (Union[IResolvable, Sequence[Union[IResolvable, RecordColumnProperty, Dict[str, Any]]]]) – A list of RecordColumn objects.
record_format (Union[IResolvable, RecordFormatProperty, Dict[str, Any]]) – Specifies the format of the records on the streaming source.
record_encoding (Optional[str]) – Specifies the encoding of the records in the streaming source. For example, UTF-8.

Link

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-inputschema.html

ExampleMetadata

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_kinesisanalytics as kinesisanalytics

input_schema_property = kinesisanalytics.CfnApplicationV2.InputSchemaProperty(
    record_columns=[kinesisanalytics.CfnApplicationV2.RecordColumnProperty(
        name="name",
        sql_type="sqlType",

        # the properties below are optional
        mapping="mapping"
    )],
    record_format=kinesisanalytics.CfnApplicationV2.RecordFormatProperty(
        record_format_type="recordFormatType",

        # the properties below are optional
        mapping_parameters=kinesisanalytics.CfnApplicationV2.MappingParametersProperty(
            csv_mapping_parameters=kinesisanalytics.CfnApplicationV2.CSVMappingParametersProperty(
                record_column_delimiter="recordColumnDelimiter",
                record_row_delimiter="recordRowDelimiter"
            ),
            json_mapping_parameters=kinesisanalytics.CfnApplicationV2.JSONMappingParametersProperty(
                record_row_path="recordRowPath"
            )
        )
    ),

    # the properties below are optional
    record_encoding="recordEncoding"
)

Attributes

record_columns

A list of RecordColumn objects.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-inputschema.html#cfn-kinesisanalyticsv2-application-inputschema-recordcolumns

record_encoding

Specifies the encoding of the records in the streaming source.

For example, UTF-8.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-inputschema.html#cfn-kinesisanalyticsv2-application-inputschema-recordencoding

record_format

Specifies the format of the records on the streaming source.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-inputschema.html#cfn-kinesisanalyticsv2-application-inputschema-recordformat

JSONMappingParametersProperty

class CfnApplicationV2.JSONMappingParametersProperty(*, record_row_path)

Bases: object

For a SQL-based Kinesis Data Analytics application, provides additional mapping information when JSON is the record format on the streaming source.

Parameters: record_row_path (str) – The path to the top-level parent that contains the records.
Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-jsonmappingparameters.html
ExampleMetadata: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_kinesisanalytics as kinesisanalytics

j_sONMapping_parameters_property = kinesisanalytics.CfnApplicationV2.JSONMappingParametersProperty(
    record_row_path="recordRowPath"
)

Attributes

record_row_path

The path to the top-level parent that contains the records.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-jsonmappingparameters.html#cfn-kinesisanalyticsv2-application-jsonmappingparameters-recordrowpath

KinesisFirehoseInputProperty

class CfnApplicationV2.KinesisFirehoseInputProperty(*, resource_arn)

Bases: object

For a SQL-based Kinesis Data Analytics application, identifies a Kinesis Data Firehose delivery stream as the streaming source.

You provide the delivery stream’s Amazon Resource Name (ARN).

Parameters: resource_arn (str) – The Amazon Resource Name (ARN) of the delivery stream.
Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-kinesisfirehoseinput.html
ExampleMetadata: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_kinesisanalytics as kinesisanalytics

kinesis_firehose_input_property = kinesisanalytics.CfnApplicationV2.KinesisFirehoseInputProperty(
    resource_arn="resourceArn"
)

Attributes

resource_arn

The Amazon Resource Name (ARN) of the delivery stream.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-kinesisfirehoseinput.html#cfn-kinesisanalyticsv2-application-kinesisfirehoseinput-resourcearn

KinesisStreamsInputProperty

class CfnApplicationV2.KinesisStreamsInputProperty(*, resource_arn)

Bases: object

Identifies a Kinesis data stream as the streaming source.

You provide the stream’s Amazon Resource Name (ARN).

Parameters: resource_arn (str) – The ARN of the input Kinesis data stream to read.
Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-kinesisstreamsinput.html
ExampleMetadata: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_kinesisanalytics as kinesisanalytics

kinesis_streams_input_property = kinesisanalytics.CfnApplicationV2.KinesisStreamsInputProperty(
    resource_arn="resourceArn"
)

Attributes

resource_arn

The ARN of the input Kinesis data stream to read.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-kinesisstreamsinput.html#cfn-kinesisanalyticsv2-application-kinesisstreamsinput-resourcearn

MappingParametersProperty

class CfnApplicationV2.MappingParametersProperty(*, csv_mapping_parameters=None, json_mapping_parameters=None)

Bases: object

When you configure a SQL-based Kinesis Data Analytics application’s input at the time of creating or updating an application, provides additional mapping information specific to the record format (such as JSON, CSV, or record fields delimited by some delimiter) on the streaming source.

Parameters

csv_mapping_parameters (Union[IResolvable, CSVMappingParametersProperty, Dict[str, Any], None]) – Provides additional mapping information when the record format uses delimiters (for example, CSV).
json_mapping_parameters (Union[IResolvable, JSONMappingParametersProperty, Dict[str, Any], None]) – Provides additional mapping information when JSON is the record format on the streaming source.

Link

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-mappingparameters.html

ExampleMetadata

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_kinesisanalytics as kinesisanalytics

mapping_parameters_property = kinesisanalytics.CfnApplicationV2.MappingParametersProperty(
    csv_mapping_parameters=kinesisanalytics.CfnApplicationV2.CSVMappingParametersProperty(
        record_column_delimiter="recordColumnDelimiter",
        record_row_delimiter="recordRowDelimiter"
    ),
    json_mapping_parameters=kinesisanalytics.CfnApplicationV2.JSONMappingParametersProperty(
        record_row_path="recordRowPath"
    )
)

Attributes

csv_mapping_parameters

Provides additional mapping information when the record format uses delimiters (for example, CSV).

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-mappingparameters.html#cfn-kinesisanalyticsv2-application-mappingparameters-csvmappingparameters

json_mapping_parameters

Provides additional mapping information when JSON is the record format on the streaming source.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-mappingparameters.html#cfn-kinesisanalyticsv2-application-mappingparameters-jsonmappingparameters

MavenReferenceProperty

class CfnApplicationV2.MavenReferenceProperty(*, artifact_id, group_id, version)

Bases: object

The information required to specify a Maven reference.

You can use Maven references to specify dependency JAR files.

Parameters

artifact_id (str) – The artifact ID of the Maven reference.
group_id (str) – The group ID of the Maven reference.
version (str) – The version of the Maven reference.

Link

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-mavenreference.html

ExampleMetadata

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_kinesisanalytics as kinesisanalytics

maven_reference_property = kinesisanalytics.CfnApplicationV2.MavenReferenceProperty(
    artifact_id="artifactId",
    group_id="groupId",
    version="version"
)

Attributes

artifact_id

The artifact ID of the Maven reference.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-mavenreference.html#cfn-kinesisanalyticsv2-application-mavenreference-artifactid

group_id

The group ID of the Maven reference.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-mavenreference.html#cfn-kinesisanalyticsv2-application-mavenreference-groupid

version

The version of the Maven reference.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-mavenreference.html#cfn-kinesisanalyticsv2-application-mavenreference-version

MonitoringConfigurationProperty

class CfnApplicationV2.MonitoringConfigurationProperty(*, configuration_type, log_level=None, metrics_level=None)

Bases: object

Describes configuration parameters for Amazon CloudWatch logging for a Java-based Kinesis Data Analytics application.

For more information about CloudWatch logging, see Monitoring .

Parameters

configuration_type (str) – Describes whether to use the default CloudWatch logging configuration for an application. You must set this property to CUSTOM in order to set the LogLevel or MetricsLevel parameters.
log_level (Optional[str]) – Describes the verbosity of the CloudWatch Logs for an application.
metrics_level (Optional[str]) – Describes the granularity of the CloudWatch Logs for an application. The Parallelism level is not recommended for applications with a Parallelism over 64 due to excessive costs.

Link

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-monitoringconfiguration.html

ExampleMetadata

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_kinesisanalytics as kinesisanalytics

monitoring_configuration_property = kinesisanalytics.CfnApplicationV2.MonitoringConfigurationProperty(
    configuration_type="configurationType",

    # the properties below are optional
    log_level="logLevel",
    metrics_level="metricsLevel"
)

Attributes

configuration_type

Describes whether to use the default CloudWatch logging configuration for an application.

You must set this property to CUSTOM in order to set the LogLevel or MetricsLevel parameters.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-monitoringconfiguration.html#cfn-kinesisanalyticsv2-application-monitoringconfiguration-configurationtype

log_level

Describes the verbosity of the CloudWatch Logs for an application.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-monitoringconfiguration.html#cfn-kinesisanalyticsv2-application-monitoringconfiguration-loglevel

metrics_level

Describes the granularity of the CloudWatch Logs for an application.

The Parallelism level is not recommended for applications with a Parallelism over 64 due to excessive costs.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-monitoringconfiguration.html#cfn-kinesisanalyticsv2-application-monitoringconfiguration-metricslevel

ParallelismConfigurationProperty

class CfnApplicationV2.ParallelismConfigurationProperty(*, configuration_type, auto_scaling_enabled=None, parallelism=None, parallelism_per_kpu=None)

Bases: object

Describes parameters for how a Flink-based Kinesis Data Analytics application executes multiple tasks simultaneously.

For more information about parallelism, see Parallel Execution in the Apache Flink Documentation .

Parameters

configuration_type (str) – Describes whether the application uses the default parallelism for the Kinesis Data Analytics service. You must set this property to CUSTOM in order to change your application’s AutoScalingEnabled , Parallelism , or ParallelismPerKPU properties.
auto_scaling_enabled (Union[bool, IResolvable, None]) – Describes whether the Kinesis Data Analytics service can increase the parallelism of the application in response to increased throughput.
parallelism (Union[int, float, None]) – Describes the initial number of parallel tasks that a Java-based Kinesis Data Analytics application can perform. The Kinesis Data Analytics service can increase this number automatically if ParallelismConfiguration:AutoScalingEnabled is set to true .
parallelism_per_kpu (Union[int, float, None]) – Describes the number of parallel tasks that a Java-based Kinesis Data Analytics application can perform per Kinesis Processing Unit (KPU) used by the application. For more information about KPUs, see Amazon Kinesis Data Analytics Pricing .

Link

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-parallelismconfiguration.html

ExampleMetadata

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_kinesisanalytics as kinesisanalytics

parallelism_configuration_property = kinesisanalytics.CfnApplicationV2.ParallelismConfigurationProperty(
    configuration_type="configurationType",

    # the properties below are optional
    auto_scaling_enabled=False,
    parallelism=123,
    parallelism_per_kpu=123
)

Attributes

auto_scaling_enabled

Describes whether the Kinesis Data Analytics service can increase the parallelism of the application in response to increased throughput.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-parallelismconfiguration.html#cfn-kinesisanalyticsv2-application-parallelismconfiguration-autoscalingenabled

configuration_type

Describes whether the application uses the default parallelism for the Kinesis Data Analytics service.

You must set this property to CUSTOM in order to change your application’s AutoScalingEnabled , Parallelism , or ParallelismPerKPU properties.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-parallelismconfiguration.html#cfn-kinesisanalyticsv2-application-parallelismconfiguration-configurationtype

parallelism

Describes the initial number of parallel tasks that a Java-based Kinesis Data Analytics application can perform.

The Kinesis Data Analytics service can increase this number automatically if ParallelismConfiguration:AutoScalingEnabled is set to true .

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-parallelismconfiguration.html#cfn-kinesisanalyticsv2-application-parallelismconfiguration-parallelism

parallelism_per_kpu

Describes the number of parallel tasks that a Java-based Kinesis Data Analytics application can perform per Kinesis Processing Unit (KPU) used by the application.

For more information about KPUs, see Amazon Kinesis Data Analytics Pricing .

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-parallelismconfiguration.html#cfn-kinesisanalyticsv2-application-parallelismconfiguration-parallelismperkpu

PropertyGroupProperty

class CfnApplicationV2.PropertyGroupProperty(*, property_group_id=None, property_map=None)

Bases: object

Property key-value pairs passed into an application.

Parameters

property_group_id (Optional[str]) – Describes the key of an application execution property key-value pair.
property_map (Union[IResolvable, Mapping[str, str], None]) – Describes the value of an application execution property key-value pair.

Link

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-propertygroup.html

ExampleMetadata

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_kinesisanalytics as kinesisanalytics

property_group_property = kinesisanalytics.CfnApplicationV2.PropertyGroupProperty(
    property_group_id="propertyGroupId",
    property_map={
        "property_map_key": "propertyMap"
    }
)

Attributes

property_group_id

Describes the key of an application execution property key-value pair.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-propertygroup.html#cfn-kinesisanalyticsv2-application-propertygroup-propertygroupid

property_map

Describes the value of an application execution property key-value pair.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-propertygroup.html#cfn-kinesisanalyticsv2-application-propertygroup-propertymap

RecordColumnProperty

class CfnApplicationV2.RecordColumnProperty(*, name, sql_type, mapping=None)

Bases: object

For a SQL-based Kinesis Data Analytics application, describes the mapping of each data element in the streaming source to the corresponding column in the in-application stream.

Also used to describe the format of the reference data source.

Parameters

name (str) – The name of the column that is created in the in-application input stream or reference table.
sql_type (str) – The type of column created in the in-application input stream or reference table.
mapping (Optional[str]) – A reference to the data element in the streaming input or the reference data source.

Link

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-recordcolumn.html

ExampleMetadata

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_kinesisanalytics as kinesisanalytics

record_column_property = kinesisanalytics.CfnApplicationV2.RecordColumnProperty(
    name="name",
    sql_type="sqlType",

    # the properties below are optional
    mapping="mapping"
)

Attributes

mapping

A reference to the data element in the streaming input or the reference data source.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-recordcolumn.html#cfn-kinesisanalyticsv2-application-recordcolumn-mapping

name

The name of the column that is created in the in-application input stream or reference table.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-recordcolumn.html#cfn-kinesisanalyticsv2-application-recordcolumn-name

sql_type

The type of column created in the in-application input stream or reference table.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-recordcolumn.html#cfn-kinesisanalyticsv2-application-recordcolumn-sqltype

RecordFormatProperty

class CfnApplicationV2.RecordFormatProperty(*, record_format_type, mapping_parameters=None)

Bases: object

For a SQL-based Kinesis Data Analytics application, describes the record format and relevant mapping information that should be applied to schematize the records on the stream.

Parameters

record_format_type (str) – The type of record format.
mapping_parameters (Union[IResolvable, MappingParametersProperty, Dict[str, Any], None]) – When you configure application input at the time of creating or updating an application, provides additional mapping information specific to the record format (such as JSON, CSV, or record fields delimited by some delimiter) on the streaming source.

Link

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-recordformat.html

ExampleMetadata

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_kinesisanalytics as kinesisanalytics

record_format_property = kinesisanalytics.CfnApplicationV2.RecordFormatProperty(
    record_format_type="recordFormatType",

    # the properties below are optional
    mapping_parameters=kinesisanalytics.CfnApplicationV2.MappingParametersProperty(
        csv_mapping_parameters=kinesisanalytics.CfnApplicationV2.CSVMappingParametersProperty(
            record_column_delimiter="recordColumnDelimiter",
            record_row_delimiter="recordRowDelimiter"
        ),
        json_mapping_parameters=kinesisanalytics.CfnApplicationV2.JSONMappingParametersProperty(
            record_row_path="recordRowPath"
        )
    )
)

Attributes

mapping_parameters

When you configure application input at the time of creating or updating an application, provides additional mapping information specific to the record format (such as JSON, CSV, or record fields delimited by some delimiter) on the streaming source.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-recordformat.html#cfn-kinesisanalyticsv2-application-recordformat-mappingparameters

record_format_type

The type of record format.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-recordformat.html#cfn-kinesisanalyticsv2-application-recordformat-recordformattype

RunConfigurationProperty

class CfnApplicationV2.RunConfigurationProperty(*, application_restore_configuration=None, flink_run_configuration=None)

Bases: object

Describes the starting parameters for an Kinesis Data Analytics application.

Parameters

application_restore_configuration (Union[IResolvable, ApplicationRestoreConfigurationProperty, Dict[str, Any], None]) – Describes the restore behavior of a restarting application.
flink_run_configuration (Union[IResolvable, FlinkRunConfigurationProperty, Dict[str, Any], None]) – Describes the starting parameters for a Flink-based Kinesis Data Analytics application.

Link

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-runconfiguration.html

ExampleMetadata

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_kinesisanalytics as kinesisanalytics

run_configuration_property = kinesisanalytics.CfnApplicationV2.RunConfigurationProperty(
    application_restore_configuration=kinesisanalytics.CfnApplicationV2.ApplicationRestoreConfigurationProperty(
        application_restore_type="applicationRestoreType",

        # the properties below are optional
        snapshot_name="snapshotName"
    ),
    flink_run_configuration=kinesisanalytics.CfnApplicationV2.FlinkRunConfigurationProperty(
        allow_non_restored_state=False
    )
)

Attributes

application_restore_configuration

Describes the restore behavior of a restarting application.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-runconfiguration.html#cfn-kinesisanalyticsv2-application-runconfiguration-applicationrestoreconfiguration

flink_run_configuration

Describes the starting parameters for a Flink-based Kinesis Data Analytics application.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-runconfiguration.html#cfn-kinesisanalyticsv2-application-runconfiguration-flinkrunconfiguration

S3ContentBaseLocationProperty

class CfnApplicationV2.S3ContentBaseLocationProperty(*, bucket_arn, base_path=None)

Bases: object

The base location of the Amazon Data Analytics application.

Parameters

bucket_arn (str) – The Amazon Resource Name (ARN) of the S3 bucket.
base_path (Optional[str]) – The base path for the S3 bucket.

Link

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-s3contentbaselocation.html

ExampleMetadata

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_kinesisanalytics as kinesisanalytics

s3_content_base_location_property = kinesisanalytics.CfnApplicationV2.S3ContentBaseLocationProperty(
    bucket_arn="bucketArn",

    # the properties below are optional
    base_path="basePath"
)

Attributes

base_path

The base path for the S3 bucket.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-s3contentbaselocation.html#cfn-kinesisanalyticsv2-application-s3contentbaselocation-basepath

bucket_arn

The Amazon Resource Name (ARN) of the S3 bucket.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-s3contentbaselocation.html#cfn-kinesisanalyticsv2-application-s3contentbaselocation-bucketarn

S3ContentLocationProperty

class CfnApplicationV2.S3ContentLocationProperty(*, bucket_arn, file_key, object_version=None)

Bases: object

The location of an application or a custom artifact.

Parameters

bucket_arn (str) – The Amazon Resource Name (ARN) for the S3 bucket containing the application code.
file_key (str) – The file key for the object containing the application code.
object_version (Optional[str]) – The version of the object containing the application code.

Link

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-s3contentlocation.html

ExampleMetadata

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_kinesisanalytics as kinesisanalytics

s3_content_location_property = kinesisanalytics.CfnApplicationV2.S3ContentLocationProperty(
    bucket_arn="bucketArn",
    file_key="fileKey",

    # the properties below are optional
    object_version="objectVersion"
)

Attributes

bucket_arn

The Amazon Resource Name (ARN) for the S3 bucket containing the application code.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-s3contentlocation.html#cfn-kinesisanalyticsv2-application-s3contentlocation-bucketarn

file_key

The file key for the object containing the application code.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-s3contentlocation.html#cfn-kinesisanalyticsv2-application-s3contentlocation-filekey

object_version

The version of the object containing the application code.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-s3contentlocation.html#cfn-kinesisanalyticsv2-application-s3contentlocation-objectversion

SqlApplicationConfigurationProperty

class CfnApplicationV2.SqlApplicationConfigurationProperty(*, inputs=None)

Bases: object

Describes the inputs, outputs, and reference data sources for a SQL-based Kinesis Data Analytics application.

Parameters: inputs (Union[IResolvable, Sequence[Union[IResolvable, InputProperty, Dict[str, Any]]], None]) – The array of Input objects describing the input streams used by the application.
Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-sqlapplicationconfiguration.html
ExampleMetadata: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_kinesisanalytics as kinesisanalytics

sql_application_configuration_property = kinesisanalytics.CfnApplicationV2.SqlApplicationConfigurationProperty(
    inputs=[kinesisanalytics.CfnApplicationV2.InputProperty(
        input_schema=kinesisanalytics.CfnApplicationV2.InputSchemaProperty(
            record_columns=[kinesisanalytics.CfnApplicationV2.RecordColumnProperty(
                name="name",
                sql_type="sqlType",

                # the properties below are optional
                mapping="mapping"
            )],
            record_format=kinesisanalytics.CfnApplicationV2.RecordFormatProperty(
                record_format_type="recordFormatType",

                # the properties below are optional
                mapping_parameters=kinesisanalytics.CfnApplicationV2.MappingParametersProperty(
                    csv_mapping_parameters=kinesisanalytics.CfnApplicationV2.CSVMappingParametersProperty(
                        record_column_delimiter="recordColumnDelimiter",
                        record_row_delimiter="recordRowDelimiter"
                    ),
                    json_mapping_parameters=kinesisanalytics.CfnApplicationV2.JSONMappingParametersProperty(
                        record_row_path="recordRowPath"
                    )
                )
            ),

            # the properties below are optional
            record_encoding="recordEncoding"
        ),
        name_prefix="namePrefix",

        # the properties below are optional
        input_parallelism=kinesisanalytics.CfnApplicationV2.InputParallelismProperty(
            count=123
        ),
        input_processing_configuration=kinesisanalytics.CfnApplicationV2.InputProcessingConfigurationProperty(
            input_lambda_processor=kinesisanalytics.CfnApplicationV2.InputLambdaProcessorProperty(
                resource_arn="resourceArn"
            )
        ),
        kinesis_firehose_input=kinesisanalytics.CfnApplicationV2.KinesisFirehoseInputProperty(
            resource_arn="resourceArn"
        ),
        kinesis_streams_input=kinesisanalytics.CfnApplicationV2.KinesisStreamsInputProperty(
            resource_arn="resourceArn"
        )
    )]
)

Attributes

inputs

//docs.aws.amazon.com/kinesisanalytics/latest/apiv2/API_Input.html>`_ objects describing the input streams used by the application.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-sqlapplicationconfiguration.html#cfn-kinesisanalyticsv2-application-sqlapplicationconfiguration-inputs
Type: The array of `Input <https

VpcConfigurationProperty

class CfnApplicationV2.VpcConfigurationProperty(*, security_group_ids, subnet_ids)

Bases: object

Describes the parameters of a VPC used by the application.

Parameters

security_group_ids (Sequence[str]) – The array of SecurityGroup IDs used by the VPC configuration.
subnet_ids (Sequence[str]) – The array of Subnet IDs used by the VPC configuration.

Link

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-vpcconfiguration.html

ExampleMetadata

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_kinesisanalytics as kinesisanalytics

vpc_configuration_property = kinesisanalytics.CfnApplicationV2.VpcConfigurationProperty(
    security_group_ids=["securityGroupIds"],
    subnet_ids=["subnetIds"]
)

Attributes

security_group_ids

//docs.aws.amazon.com/AWSEC2/latest/APIReference/API_SecurityGroup.html>`_ IDs used by the VPC configuration.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-vpcconfiguration.html#cfn-kinesisanalyticsv2-application-vpcconfiguration-securitygroupids
Type: The array of `SecurityGroup <https

subnet_ids

//docs.aws.amazon.com/AWSEC2/latest/APIReference/API_Subnet.html>`_ IDs used by the VPC configuration.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-vpcconfiguration.html#cfn-kinesisanalyticsv2-application-vpcconfiguration-subnetids
Type: The array of `Subnet <https

ZeppelinApplicationConfigurationProperty

class CfnApplicationV2.ZeppelinApplicationConfigurationProperty(*, catalog_configuration=None, custom_artifacts_configuration=None, deploy_as_application_configuration=None, monitoring_configuration=None)

Bases: object

The configuration of a Kinesis Data Analytics Studio notebook.

Parameters

catalog_configuration (Union[IResolvable, CatalogConfigurationProperty, Dict[str, Any], None]) – The Amazon Glue Data Catalog that you use in queries in a Kinesis Data Analytics Studio notebook.
custom_artifacts_configuration (Union[IResolvable, Sequence[Union[IResolvable, CustomArtifactConfigurationProperty, Dict[str, Any]]], None]) – A list of CustomArtifactConfiguration objects.
deploy_as_application_configuration (Union[IResolvable, DeployAsApplicationConfigurationProperty, Dict[str, Any], None]) – The information required to deploy a Kinesis Data Analytics Studio notebook as an application with durable state.
monitoring_configuration (Union[IResolvable, ZeppelinMonitoringConfigurationProperty, Dict[str, Any], None]) – The monitoring configuration of a Kinesis Data Analytics Studio notebook.

Link

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-zeppelinapplicationconfiguration.html

ExampleMetadata

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_kinesisanalytics as kinesisanalytics

zeppelin_application_configuration_property = kinesisanalytics.CfnApplicationV2.ZeppelinApplicationConfigurationProperty(
    catalog_configuration=kinesisanalytics.CfnApplicationV2.CatalogConfigurationProperty(
        glue_data_catalog_configuration=kinesisanalytics.CfnApplicationV2.GlueDataCatalogConfigurationProperty(
            database_arn="databaseArn"
        )
    ),
    custom_artifacts_configuration=[kinesisanalytics.CfnApplicationV2.CustomArtifactConfigurationProperty(
        artifact_type="artifactType",

        # the properties below are optional
        maven_reference=kinesisanalytics.CfnApplicationV2.MavenReferenceProperty(
            artifact_id="artifactId",
            group_id="groupId",
            version="version"
        ),
        s3_content_location=kinesisanalytics.CfnApplicationV2.S3ContentLocationProperty(
            bucket_arn="bucketArn",
            file_key="fileKey",

            # the properties below are optional
            object_version="objectVersion"
        )
    )],
    deploy_as_application_configuration=kinesisanalytics.CfnApplicationV2.DeployAsApplicationConfigurationProperty(
        s3_content_location=kinesisanalytics.CfnApplicationV2.S3ContentBaseLocationProperty(
            bucket_arn="bucketArn",

            # the properties below are optional
            base_path="basePath"
        )
    ),
    monitoring_configuration=kinesisanalytics.CfnApplicationV2.ZeppelinMonitoringConfigurationProperty(
        log_level="logLevel"
    )
)

Attributes

catalog_configuration

The Amazon Glue Data Catalog that you use in queries in a Kinesis Data Analytics Studio notebook.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-zeppelinapplicationconfiguration.html#cfn-kinesisanalyticsv2-application-zeppelinapplicationconfiguration-catalogconfiguration

custom_artifacts_configuration

A list of CustomArtifactConfiguration objects.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-zeppelinapplicationconfiguration.html#cfn-kinesisanalyticsv2-application-zeppelinapplicationconfiguration-customartifactsconfiguration

deploy_as_application_configuration

The information required to deploy a Kinesis Data Analytics Studio notebook as an application with durable state.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-zeppelinapplicationconfiguration.html#cfn-kinesisanalyticsv2-application-zeppelinapplicationconfiguration-deployasapplicationconfiguration

monitoring_configuration

The monitoring configuration of a Kinesis Data Analytics Studio notebook.

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-zeppelinapplicationconfiguration.html#cfn-kinesisanalyticsv2-application-zeppelinapplicationconfiguration-monitoringconfiguration

ZeppelinMonitoringConfigurationProperty

class CfnApplicationV2.ZeppelinMonitoringConfigurationProperty(*, log_level=None)

Bases: object

Describes configuration parameters for Amazon CloudWatch logging for a Kinesis Data Analytics Studio notebook.

For more information about CloudWatch logging, see Monitoring .

Parameters: log_level (Optional[str]) – The verbosity of the CloudWatch Logs for an application. You can set it to INFO , WARN , ERROR , or DEBUG .
Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-zeppelinmonitoringconfiguration.html
ExampleMetadata: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_kinesisanalytics as kinesisanalytics

zeppelin_monitoring_configuration_property = kinesisanalytics.CfnApplicationV2.ZeppelinMonitoringConfigurationProperty(
    log_level="logLevel"
)

Attributes

log_level

The verbosity of the CloudWatch Logs for an application.

You can set it to INFO , WARN , ERROR , or DEBUG .

Link: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-zeppelinmonitoringconfiguration.html#cfn-kinesisanalyticsv2-application-zeppelinmonitoringconfiguration-loglevel